INTRODUCTORY STATISTICS CH 6
INTRODUCTORY STATISTICS CH 6 MATH 10041-007
Popular in INTRODUCTORY STATISTICS
verified elite notetaker
Popular in Math
This 2 page Class Notes was uploaded by Marissa Nichol on Friday October 23, 2015. The Class Notes belongs to MATH 10041-007 at Kent State University taught by Xianglan Bai in Summer 2015. Since its upload, it has received 31 views. For similar materials see INTRODUCTORY STATISTICS in Math at Kent State University.
Reviews for INTRODUCTORY STATISTICS CH 6
Report this Material
What is Karma?
Karma is the currency of StudySoup.
Date Created: 10/23/15
INTRODUCTORY STATISTICS CH 6 61 description of how a statistician thinks data is produced PROBABILITY DISTRIBUTION FUNCTION a tool to keep track of random experiment outcomes and probabilities associated with them DISCRETE OUTCOMES a numerical value that can be listed or counted CONTINUOUS OUTCOMES cant be listed or counted occur over the range PROBABILITY DENSITY CURVE the curve that continuous valued random experiment probabilities are areas represented under 62 NORMAL MODEL most used probability model Provides close t NORMAL CURVEDISTRIBUTION the curve on normal model histograms Continuous valued data distributions THE MEAN OF PROBABILITY DISTRIBUTION mu symbol STANDARD DEVIATION OF A PROBABILITY DISTRIBUTION sigma symbol PERCEENTILE value corresponds to the probability 63 BINOMIAL PROBABILITY MODEL numerical variables that are discrete valued n is the xed number of trials for each trial there is success and failure trials are independent